Evidence map›Paper›PMID 34252881›Full record

ArticleDevelopmental cognitive neuroscience2021

Increased integration between default mode and task-relevant networks in children with ADHD is associated with impaired response control.

Kelly A Duffy, Keri S Rosch, Mary Beth Nebel, Karen E Seymour, Martin A Lindquist, James J Pekar, Stewart H Mostofsky, Jessica R Cohen

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Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kelly A DuffyDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Keri S RoschCenter for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.
Mary Beth NebelCenter for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Karen E SeymourCenter for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Martin A LindquistDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
James J PekarF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Stewart H MostofskyCenter for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Jessica R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: jrcohen@unc.edu.

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI S. Ali Fatemi, Bradley L Schlaggar · 2020 to 2026
$9.9M
Neurology of Deficient Response Control in ADHDR01MH085328 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MOSTOFSKY, STEWART H · 2009 to 2019
$7.3M
Institute for Clinical and Translational ResearchUL1TR000424 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2012 to 2012
$6.0M
Anomalous Motor Physiology In ADHDR01MH078160 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MOSTOFSKY, STEWART H · 2006 to 2024
$5.8M
Individualized spatial topology in functional neuroimagingR01EB026549 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Abhirup Datta, Martin Lindquist · 2018 to 2026
$4.5M
Longitudinal Causal Inferencer for fMRIR01EB016061 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI LINDQUIST, MARTIN · 2013 to 2020
$2.3M
Training in genetic and neurobehavioral mechanisms of addictionT32DA050560 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Scott Ian Vrieze · 2020 to 2026
$2.0M
Neurobehavioral Correlates of Frustration in Children with ADHDK23MH107734 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SEYMOUR, KAREN E · 2015 to 2019
$815k
Visual-Motor Development in Infants at High Risk for AutismK01MH109766 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI NEBEL, MARY BETH · 2016 to 2020
$753k
Large-Scale Brain Organization During Cognitive Control in ADHDR00MH102349 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, JESSICA R · 2016 to 2018
$747k
Delay Discounting in Children with ADHD: Neuroimaging and Behavioral CorrelatesK23MH101322 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI ROSCH, KERI SHIELS · 2013 to 2017
$735k
NCATS NIH HHS UL1 TR000424NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB016061NIBIB NIH HHS R01 EB026549NICHD NIH HHS P50 HD103538NIDA NIH HHS T32 DA050560NIMH NIH HHS K01 MH109766NIMH NIH HHS K23 MH101322NIMH NIH HHS K23 MH107734NIMH NIH HHS R00 MH102349NIMH NIH HHS R01 MH078160NIMH NIH HHS R01 MH085328
6 · The paper itself

Abstract

Default mode network (DMN) dysfunction is theorized to play a role in attention lapses and task errors in children with attention-deficit/hyperactivity disorder (ADHD). In ADHD, the DMN is hyperconnected to task-relevant networks, and both increased functional connectivity and reduced activation are related to poor task performance. The current study extends existing literature by considering interactions between the DMN and task-relevant networks from a brain network perspective and by assessing how these interactions relate to response control. We characterized both static and time-varying functional brain network organization during the resting state in 43 children with ADHD and 43 age-matched typically developing (TD) children. We then related aspects of network integration to go/no-go performance. We calculated participation coefficient (PC), a measure of a region's inter-network connections, for regions of the DMN, canonical cognitive control networks (fronto-parietal, salience/cingulo-opercular), and motor-related networks (somatomotor, subcortical). Mean PC was higher in children with ADHD as compared to TD children, indicating greater integration across networks. Further, higher and less variable PC was related to greater commission error rate in children with ADHD. Together, these results inform our understanding of the role of the DMN and its interactions with task-relevant networks in response control deficits in ADHD.

Indexed as

Attention Deficit Disorder with HyperactivityBrainBrain MappingChildFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysADHDDefault mode networkFunctional connectivityResponse controlResting stateTask-relevant networks

Identifiers

PMID34252881
PMCPMC8278154

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.